Research On Some Aspect Of Spacevehicle Structure Optimization Based On SiPESC

In this paper,based on the optimization design of aerospace structure,combined with the SiPESC platform with independent property rights,an optimization process with high efficiency and adaptability is proposed for specific problems in aerospace structures.A set of multi-objective evolutionary algorithm program was developed and combined with this program to study the multi-objective optimization of typical aerospace structures and provide sufficient alternatives for structural optimization design.Remote-sensing satellite thermal deformation control issues,when the aerospace structure is in orbit,the temperature environment is complex.The thermal deformation of the satellite base has a great influence on the normal operation of high-precision telescopes.In this paper,the adapter structure of the base and the telescope is designed,and the angle of connecting the adapter composite ply is the design variable,and the error of the flatness of the connection point between the satellite base and the optical telescope is the optimization goal.When optimizing the ply angle,the process constraints of the laminate manufacturing process need to be introduced.The constraint process is introduced by re-engineering the optimization process,and the optimal design is searched using the genetic algorithm.For the rail vehicle door mechanism system and sealing requirements,the optimization model of the door lock point and structure layout with stiffness matching performance as the sealing index is proposed,and the substructure strategy is used to improve the solution optimization efficiency of the layout optimization model.Firstly,this paper solves the problem of the mismatch between the door and the boundary in the finite element mesh node by means of node displacement difference,and establishes a system optimization model of the position,number and layout of an orbiter's cabin door lock.Considering that the layout optimization problem is not suitable for the gradient-based optimization algorithm,the intelligent evolution algorithm has a large amount of computation.The sub-structure strategy avoids the repeated calculation of the non-contact area and greatly improves the solution optimization efficiency of the layout optimization model.In aerospace structural design,there are often contradictions among multiple design indicators.The multi-objective evolutionary algorithm searches globally,mutates and recombines,and calculates fitness.The evolutionary process of elite individual reservations converges to the Pareto frontier and guarantees populations.Diversity.The main goal of the multi-objective evolutionary algorithm evolution engineering is that the evolution direction of the population points to the Pareto frontier;the diversity of populations in the evolutionary process is ensured,and the premature convergence of the population into the local optimum solution is avoided;each evolutionary generation needs to retain elite individuals.As the development of multi-objective evolutionary algorithms is not yet mature,excellent algorithms emerge one after another.This article uses the Python object-oriented programming,developed a multi-objective evolutionary algorithm program module,the program is easy to integrate good algorithms,but also conducive to engineering and practical.Finally,this paper combines multi-objective optimization program to study the optimal design of space trusses and small satellites.When using multi-objective optimization algorithms to solve problems,more reliable design schemes are provided,providing designers with more design alternatives.